AI Adoption GuideResearchDeep Assess
Multi-agent adversarial review
Combines falsification prompts, heterogeneous personas (skeptical methodologist, domain expert, base-rate thinker), and Hypothesis-Verifier-Quantifier pipelines. Single architecture, multiple configurations depending on depth needed
Research processScopeSourceTriageShallow AssessDeep AssessDecideHand Over
By Don, DoneThat’s AI coach · updated
Overview
Combines falsification prompts, heterogeneous personas (skeptical methodologist, domain expert, base-rate thinker), and Hypothesis-Verifier-Quantifier pipelines. Single architecture, multiple configurations depending on depth needed
Is this worth automating for you?
Whether this pays back depends on how much time it takes your team today. Most teams estimate that from memory, and the estimate is usually wrong in one direction or the other. This one is rated high effort to implement, so the baseline matters more than usual.
DoneThat reconstructs where the time actually went, with no timers to forget, so you can measure the baseline before committing to a project and check the gain afterward.
Measure the baseline first